EE404: Digital Image Processing
                            Berkeley数字图像处理视频课程
（28课时  ￥48）
Instructor: Professor Avideh Zakhor

        Digital Image Processing是UC Berkeley电子工程专业高年级本科生课程。课程共28讲，每讲80分钟左右，包括：.rm格式的课程视频和与视频课程内容配套使用的完整的课程讲义。有了课程讲义让您的学习更有效，在潜移默化中提高专业知识和英语能力。
        加州大学伯克莱分校（UC Berkeley）作为世界一流大学，有着世界顶级的大师，所设课程也都是精品中的精品，紧跟最新科技的进展。本站推出的美国一流大学精品视频课程套装，让您足不出户就能一睹世界一流大学大师教学的风采；聆听大师的声音、拓展国际化的视野、与国际水平看齐、实现自我价值的提升。

        2-D sequences and systems, separable systems, projection slice thm, reconstruction from projections and partial Fourier information, Z transform, different equations, recursive computability, 2D DFT and FFT, 2D FIR filter design; human eye, perception, psychophysical vision properties, photometry and colorimetry, optics and image systems; image enhancement, image restoration, geometrical image modification, morphological image processing, halftoning, edge detection, image compression: scalar quantization, lossless coding, huffman coding, arithmetic coding dictionary techniques, waveform and transform coding DCT, KLT, Hadammard, multiresolution coding pyramid, subband coding, Fractal coding, vector quantization, motion estimation and compensation, standards: JPEG, MPEG, H.xxx, pre- and post-processing, scalable image and video coding, image and video communication over noisy channels.
　

1. Image reconstruction from partial information
2. Two-dimensional (2-D) Fourier transform and z-transform;
3. 2-D DFT and FFT, FIR and IIR filter design and implementation.
4. Basics of Image Processing techniques and perception;
5. Image and video enhancement
6. Image and video restoration
7. Reconstruction from multiple images
8. Image and video analysis: Image Representation and models; image and video classfication and segmentation; edge and boundary detection in images
9. Image compression and coding
10. Video compression
11. Image and Video Communication, storage and retreival
12. Image and video rendering and assessment
13. Image and video Acquisition
14. Applications of image processing: Synthetic Aperture Radar, computed tomography, cardiac image processing, finger print classfication, human face recognition.
　

1. Bovik, Handbook of Image and Video Processing, Academic Press 2000, (recommended)
2. N. Netravali and Barry G. Haskell, Digital Pictures, Plenum Press, 1988. (recommended)
3. W. K. Pratt, Digital Image Processing, John Wiley and Sons, 1992. (recommended)
4. M. Tekalp, Digital Video Processing, Prentice Hall, 1995. (recommended)
　

Lecture #1: introduction
Lecture #2: Systems, Jan. 20, 2006
Lecture #3: Tomography, Jan. 25, 2006
Lecture #4: Reconstruction of 2-D Signals from Partial Fourier Information, Jan. 27, 2006
Lecture #5: Detour into Numerical Analysis, Feb. 1, 2006
Lecture #6: Reconfiguration of M-D Signals From Zero Crossings, Feb. 3, 2006
Lecture #7: Filters (LSI System), Feb. 8, 2006
Lecture #8: How to Choose B.C. for 2D D.L.C.C.D.E., Feb. 10, 2006
Lecture #9: Computing DFT, Feb. 15, 2006
Lecture #10: Filter Specs, Feb. 17, 2006
Lecture #11: Example of 2D FIR, Feb. 22, 2006
Lecture #12: 2D Filter Design Using Transformation, Feb. 24, 2006
Lecture #13: Human Visual System, Mar. 1, 2006
Lecture #14: Image Enhancement, Mar. 3, 2006
Lecture #15: Mathematical Aspects/Derivation of Histogram Equalization, Mar. 8, 2006
Lecture #16: Local Enhancements Using Local Histogram Analysis, Mar. 10, 2006
Lecture #17: Image Enhancement, Mar. 15, 2006
Lecture #18: Image Restoration, Mar. 17, 2006
Lecture #19: Image Restoration continued, Mar. 22, 2006
Lecture #20: Restoration, Mar. 24, 2006
Spring Break, Mar. 27-31, 2006
Lecture #21: Adaptive Weiner Filtering, Apr. 5, 2006
Lecture #22: Image Restoration, Apr. 7, 2006
Lecture #23: Image Restoration cont., Apr. 12, 2006
Lecture #24: Image Coding, Apr. 14, 2006
Lecture #25: Image Compression, Apr. 19, 2006
Lecture #26: DPCM, Apr. 21, 2006
Lecture #27: Discrete Cosine Transform and it's Use in Image Compression, Apr. 26, 2006
Lecture #28: Lossy Image Compression, Apr. 28, 2006
Lecture #29: Multiresolution, May 3, 2006
　

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